Thermal Modeling of Dry-Transformers and Estimating Temperature Rise
Temperature rise in a transformer depends on variety
of parameters such as ambient temperature, output current and type
of the core. Considering these parameters, temperature rise estimation
is still complicated procedure. In this paper, we present a new model
based on simple electrical equivalent circuit. This method avoids the
complication associated to accurate estimation and is in very good
agreement with practice.
[1] "IEEE Standard Test Code for Dry -Type Distribution and Power
Transformers", ANSI / IEEE C57.12.91, 1992.
[2] M. P. Saravolac, "Use of Optic Fibers for Temperature Monitoring in
Power Transformers". IEE Colloquium (Digest), no. 75, Mar 22 1994.
[3] D. J. Tylavsky, G.A. McCulla, "Transformer Thermal Modeling:
Improving Reliability Using Data Quality Control", IEEE Transactions
on Power Delivery, Vol 21, No. 3, July 2006.
[4] D. Susa, "Dynamic Thermal Modeling of Power Transformers".
Doctoral Dissertation, Helsinki University of Technology, 2005.
[5] G. Swift, T.S. Molinski, W. Lehn, "A Fundamental Approach to
Transformer Thermal ModelingÔÇöPart I: Theory and Equivalent
Circuit", IEEE Transactions on Power Delivery, Vol 16, No. 2, April
2001.
[6] C. Oliver, "A New Core Loss Model for Iron Powder Material",
Switching Power Magazine, Spring 2002, pp. 28-30.
[7] W. H. Tang, Q. H. Wu, Z. J. Richardson, "A Simplified Transformer
Thermal Model Based on Thermal-Electric Analogy", IEEE
Transactions on Power Delivery, Vol 19, No. 3, July 2004.
[8] G. Orenchak, "Estimating Temperature Rise of Transformers", Power
Electronics Technology, July 2004, pp. 14-22.
[9] Cleveland, W.S. and S.J. Devlin, "Locally Weighted Regression: An
Approach to Regression Analysis by Local Fitting," Journal of the
American Statistical Association, Vol. 83, pp. 596-610, 1988.
[10] Curve Fitting User-s Guide, Mathworks Inc.
[1] "IEEE Standard Test Code for Dry -Type Distribution and Power
Transformers", ANSI / IEEE C57.12.91, 1992.
[2] M. P. Saravolac, "Use of Optic Fibers for Temperature Monitoring in
Power Transformers". IEE Colloquium (Digest), no. 75, Mar 22 1994.
[3] D. J. Tylavsky, G.A. McCulla, "Transformer Thermal Modeling:
Improving Reliability Using Data Quality Control", IEEE Transactions
on Power Delivery, Vol 21, No. 3, July 2006.
[4] D. Susa, "Dynamic Thermal Modeling of Power Transformers".
Doctoral Dissertation, Helsinki University of Technology, 2005.
[5] G. Swift, T.S. Molinski, W. Lehn, "A Fundamental Approach to
Transformer Thermal ModelingÔÇöPart I: Theory and Equivalent
Circuit", IEEE Transactions on Power Delivery, Vol 16, No. 2, April
2001.
[6] C. Oliver, "A New Core Loss Model for Iron Powder Material",
Switching Power Magazine, Spring 2002, pp. 28-30.
[7] W. H. Tang, Q. H. Wu, Z. J. Richardson, "A Simplified Transformer
Thermal Model Based on Thermal-Electric Analogy", IEEE
Transactions on Power Delivery, Vol 19, No. 3, July 2004.
[8] G. Orenchak, "Estimating Temperature Rise of Transformers", Power
Electronics Technology, July 2004, pp. 14-22.
[9] Cleveland, W.S. and S.J. Devlin, "Locally Weighted Regression: An
Approach to Regression Analysis by Local Fitting," Journal of the
American Statistical Association, Vol. 83, pp. 596-610, 1988.
[10] Curve Fitting User-s Guide, Mathworks Inc.
@article{"International Journal of Electrical, Electronic and Communication Sciences:53976", author = "M. Ghareh and L. Sepahi", title = "Thermal Modeling of Dry-Transformers and Estimating Temperature Rise", abstract = "Temperature rise in a transformer depends on variety
of parameters such as ambient temperature, output current and type
of the core. Considering these parameters, temperature rise estimation
is still complicated procedure. In this paper, we present a new model
based on simple electrical equivalent circuit. This method avoids the
complication associated to accurate estimation and is in very good
agreement with practice.", keywords = "Thermal modeling, temperature rise, equivalent
thermal circuit.", volume = "2", number = "9", pages = "1898-3", }